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The problem
Intervention: Computational decomposition of value-based decision-making using the Iowa Gambling Task with hierarchical Bayesian modeling to identify latent cognitive processes
Who it was tested with: 107 adolescents assigned female at birth, mean age 15.6 years.
Experience from people who deliver programmes: stories, case studies and lessons learned. Valuable for understanding how and why, and for spotting what to test next, but not a measure of effect.
"A series of regressions examined associations between lifetime and past-year NSSI frequency and aggregate IGT performance, in addition to five computationally derived parameters using hierarchical Bayesian Outcome-Representation Learning modeling." This is a correlational observational study identifying cognitive markers associated with self-injury rather than testing an intervention to reduce self-harm.
Cross-sectional design prevents causal inference; laboratory task may not reflect naturalistic decision-making; country of origin not specified; sample size of 107 is modest for computational parameter estimation.
Across countries and designs
1 study · 0 countries
